code: def load(self, bucket, path):
      with open(f"gs://{bucket}/{path}/meta.json", "r") as f:
          meta = json.load(f)
  
      ckpt_step = meta["checkpoints"][-1]
  
      # do replicated checkpoint reading
      start = time.time()
      res = []
      for node in self.nodes:
          res.append(
              node.load_ckpt.remote(
                  f"gs://{bucket}/{path}/step_{ckpt_step}/"
              )
          )
  
      # make sure they all read from the same checkpoint
      step = np.array(ray.get(res))
      assert (step[0] == step).all()
      step = int(step[0])
  
      print(
          f"Checkpoint@step{step} restored in {time.time() - start:.06}s"
      )
      return step, meta["aux"][str(ckpt_step)]
  
file_path: mesh-transformer-jax/mesh_transformer/TPU_cluster.py
imports: import itertools
  import json
  import time
  import ray
  from typing import Callable
  import numpy
  from mesh_transformer.train_actor import NetworkRunner
  from google.cloud import storage
  from smart_open import open
  from func_timeout import func_set_timeout
label_desc: Use image node_id 6 for calling the TPUCluster obj's underlying member method code with example usage: obj.load(bucket, path) and returns: step,  meta